Triple

T1489476
Position Surface form Disambiguated ID Type / Status
Subject Aller E29543 entity
Predicate hasTributary P415 FINISHED
Object Leine E35561 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Leine | Statement: [Aller, hasTributary, Leine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leine
Context triple: [Aller, hasTributary, Leine]
  • A. Leine chosen
    The Leine is a major river in central Germany that flows through the federal state of Lower Saxony, passing cities such as Göttingen and Hanover before joining the Aller.
  • B. Erft River
    The Erft River is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and known for passing historic towns and former mining areas before joining the Rhine near Neuss.
  • C. Inn River
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • D. Lippe
    The Lippe is a river in western Germany that flows through North Rhine-Westphalia and is a right-bank tributary of the Rhine.
  • E. Lippe
    Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a6095481909e9d406ac9a41828 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae58a7b1fc8190b76b09e64097b881 completed March 9, 2026, 5:20 a.m.
Created at: March 1, 2026, 8:12 p.m.